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串联质谱提取中错误的校正可增强磷酸肽的鉴定。

Correction of errors in tandem mass spectrum extraction enhances phosphopeptide identification.

机构信息

School of Biological Sciences and ‡Singapore Centre on Environmental Life Sciences Engineering, Nanyang Technological University , 60 Nanyang Drive, Singapore 637551.

出版信息

J Proteome Res. 2013 Dec 6;12(12):5548-57. doi: 10.1021/pr4004486. Epub 2013 Nov 4.

Abstract

The tandem mass spectrum extraction of phosphopeptides is more difficult and error-prone than that of unmodified peptides due to their lower abundance, lower ionization efficiency, the cofragmentation with other high-abundance peptides, and the use of MS(3) on MS(2) fragments with neutral losses. However, there are still no established methods to evaluate its correctness. Here we propose to identify and correct these errors via the combinatorial use of multiple spectrum extraction tools. We evaluated five free and two commercial extraction tools using Mascot and phosphoproteomics raw data from LTQ FT Ultra, in which RawXtract 1.9.9.2 identified the highest number of unique phosphopeptides (peptide expectation value <0.05). Surprisingly, ProteoWizzard (v. 3.0.3476) extracted wrong precursor mass for most MS(3) spectra. Comparison of the top three free extraction tools showed that only 54% of the identified spectra were identified consistently from all three tools, indicating that some errors might happen during spectrum extraction. Manual check of 258 spectra not identified from all three tools revealed 405 errors of spectrum extraction with 7.4% in selecting wrong precursor charge, 50.6% in selecting wrong precursor mass, and 42.1% in exporting MS/MS fragments. We then corrected the errors by selecting the best extracted MGF file for each spectrum among the three tools for another database search. With the errors corrected, it results in the 22.4 and 12.2% increase in spectrum matches and unique peptide identification, respectively, compared with the best single method. Correction of errors in spectrum extraction improves both the sensitivity and confidence of phosphopeptide identification. Data analysis on nonphosphopeptide spectra indicates that this strategy applies to unmodified peptides as well. The identification of errors in spectrum extraction will promote the improvement of spectrum extraction tools in future.

摘要

磷酸肽的串联质谱提取比非修饰肽更困难且更容易出错,因为它们的丰度更低、离子化效率更低、与其他高丰度肽的共碎裂以及在 MS(2) 碎片上使用 MS(3) 时会出现中性丢失。然而,目前还没有确定的方法来评估其正确性。在这里,我们建议通过组合使用多种谱提取工具来识别和纠正这些错误。我们使用 Mascot 和来自 LTQ FT Ultra 的磷酸蛋白质组学原始数据评估了五个免费和两个商业提取工具,其中 RawXtract 1.9.9.2 鉴定出的独特磷酸肽数量最多(肽预期值 <0.05)。令人惊讶的是,ProteoWizzard(v. 3.0.3476)为大多数 MS(3) 谱提取了错误的前体质量。对前三种免费提取工具的比较表明,只有 54%的鉴定谱从所有三种工具中一致鉴定出来,这表明在谱提取过程中可能会发生一些错误。对所有三种工具都未鉴定出的 258 个谱进行手动检查,发现有 405 个谱提取错误,其中 7.4%的错误是在前体电荷选择错误,50.6%的错误是在前体质量选择错误,42.1%的错误是在导出 MS/MS 片段时发生的。然后,我们通过在三种工具中为每个谱选择最佳提取的 MGF 文件来进行另一次数据库搜索,以纠正这些错误。通过纠正错误,与最佳单方法相比,谱匹配和独特肽鉴定的数量分别增加了 22.4%和 12.2%。纠正谱提取中的错误提高了磷酸肽鉴定的灵敏度和置信度。对非磷酸肽谱的分析表明,该策略也适用于非修饰肽。对谱提取错误的识别将促进未来谱提取工具的改进。

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